Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

被引：23

作者：

Zu Yun-Xiao ^{[1
]}

Zhou Jie ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China

来源：

CHINESE PHYSICS B | 2012年 / 21卷 / 01期

关键词：

cognitive radio networks; niche genetic algorithm; King map; resource allocation; CHAOTIC TIME-SERIES; AD HOC NETWORKS; HYPERCHAOTIC SYSTEM; PROJECTIVE SYNCHRONIZATION; UNKNOWN-PARAMETERS; NEURAL-NETWORKS; PREDICTION; IMPLEMENTATION; OPTIMIZATION; REALIZATION;

D O I：

10.1088/1674-1056/21/1/019501

中图分类号：

O4 [物理学];

学科分类号：

070305 [高分子化学与物理];

摘要：

Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algorithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate.

引用

页数：8

共 56 条

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New robust chaotic system with exponential quadratic term [J].